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» Clustering performance data efficiently at massive scales
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EDOC
2003
IEEE
15 years 9 months ago
An Efficient, Scalable Content-Based Messaging System
Large-scale information processing environments must rapidly search through massive streams of raw data to locate useful information. These data streams contain textual and numeri...
Ian Gorton, Justin Almquist, Nick Cramer, Jereme H...
CCGRID
2011
IEEE
14 years 8 months ago
DHTbd: A Reliable Block-Based Storage System for High Performance Clusters
—Large, reliable and efficient storage systems are becoming increasingly important in enterprise environments. Our research in storage system design is oriented towards the expl...
George Parissis, George Xylomenos, Theodore K. Apo...
SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
15 years 5 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
CCGRID
2008
IEEE
15 years 11 months ago
A Performance Study of Secure Data Mining on the Cell Processor
— This paper examines the potential of the Cell processor as a platform for secure data mining on the future volunteer computing systems. Volunteer computing platforms have the p...
Hong Wang 0006, Hiroyuki Takizawa, Hiroaki Kobayas...
ICPR
2002
IEEE
16 years 5 months ago
Fast Hierarchical Clustering Based on Compressed Data
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Erendira Rendon, Ricardo Barandela